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Investigating the organic and conventional production type of olive oil with target and suspect screening by LC-QTOF-MS, a novel semi-quantification method using chemical similarity and advanced chemometrics

机译:通过LC-QTOF-MS调查橄榄油的有机和常规生产类型的橄榄油,通过LC-QTOF-MS进行筛选,使用化学相似性和高级化学测定学的新型半定量方法

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The discrimination of organic and conventional production has been a critical topic of public discussion and constitutes a scientific issue. It remains a challenge to establish a correlation between the agronomical practices and their effects on the composition of olive oils, especially the phenolic composition, since it defines their organoleptic and nutritional value. Thus, a liquid chromatography-electrospray ionization-quadrupole time of flight tandem mass spectrometric method was developed, using target and suspect screening workflows, coupled with advanced chemometrics for the identification of phenolic compounds and the discrimination between organic and conventional extra virgin olive oils. The method was optimized by one-factor design and response surface methodology to derive the optimal conditions of extraction (methanol/water (80:20, v/v), pure methanol, or acetonitrile) and to select the most appropriate internal standard (caffeic acid or syringaldehyde). The results revealed that extraction with methanol/water (80:20, v/v) was the optimum solvent system and syringaldehyde 1.30 mg L-1 was the appropriate internal standard. The proposed method demonstrated low limits of detection in the range of 0.002 (luteolin) to 0.028 (tyrosol) mg kg(-1). Then, it was successfully applied in 52 olive oils of Kolovi variety. In total, 13 target and 24 suspect phenolic compounds were identified. Target compounds were quantified with commercially available standards. A novel semi-quantitation strategy, based on chemical similarity, was introduced for the semi-quantification of the identified suspects. Finally, ant colony optimization-random forest model selected luteolin as the only marker responsible for the discrimination, during a 2-year study.
机译:有机和传统生产的歧视是公共讨论的关键话题,并构成了一个科学问题。建立农艺实践与其对橄榄油组成之间的相关性,特别是酚醛组合物之间的相关性仍然是一项挑战,因为它定义了它们的感官和营养价值。因此,使用目标和可疑的筛选工作流程,通过靶向串联质谱法开发了液相色谱 - 电喷雾电离 - 四极旋转时间串联质谱法,加上高级化学计量学,用于鉴定酚类化合物和有机和传统特级初榨橄榄油之间的辨别。该方法通过单因素设计和响应表面方法进行了优化,可获得萃取的最佳条件(甲醇/水(80:20,v / v),纯甲醇或乙腈),并选择最合适的内标(咖啡酸或丁黄)。结果表明,用甲醇/水(80:20,v / v)提取是最佳溶剂体系,SINringAldehyde 1.30mg L-1是适当的内标。所提出的方法在0.002(曲氏醇素)至0.028(Tyrosol)Mg kg(-1)的范围内显示出低的检测限。然后,它成功地应用于52种Kolovi品种的橄榄油。总共,鉴定了13个靶标和24个可疑酚类化合物。用市售标准定量靶化合物。基于化学相似性的新型半定量策略被引入了所识别的嫌疑人的半量化。最后,蚂蚁殖民地优化 - 随机森林模型选择了虎蛋白,作为唯一负责歧视的标记,在2年期间。

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